What it solves
- Messy, inconsistent resumes slow down early screening.
- Keyword matching misses high-signal achievements.
- Manual normalization of skills and titles is error-prone.
How it works
- NLP pipeline labels entities (skills, roles, tenure, education).
- Context scoring separates responsibilities from outcomes.
- Confidence scores and extracted signals exported to ATS.
Interested in AI Resume Parsing?
Tell us your goals and integrations. We typically respond within 1 business day.